26 to 40 of 40 Retrieval-Augmented Generation Jobs in Central London

object detection (e.g. MobileNet, YOLO). Either way, we’re looking for someone who can help our app understand what the visitor is looking at – reliably and at scale. RAG Systems, Data Pipelines & Internal Agents: You'll design the data pipelines that power our AI features, including retrieval-augmented generation (RAG), internal LLM-based More ❯

object detection (e.g. MobileNet, YOLO). Either way, we’re looking for someone who can help our app understand what the visitor is looking at – reliably and at scale. RAG Systems, Data Pipelines & Internal Agents: You'll design the data pipelines that power our AI features, including retrieval-augmented generation (RAG), internal LLM-based More ❯

London) One of the UK’s most technically ambitious GenAI startups is hiring an AI Software Engineer to join their core team building the brains behind a next-generation enterprise platform. Backed by $15M in Series A funding from top-tier VCs (early investors in Deliveroo and GoCardless), this company is automating the development of custom software using … through AI. You’ll work closely with a former FAANG engineering lead who spent over a decade building LLM-based dev tools, using a stack that includes Python, LangChain, RAG, Rust, and Kubernetes. They’re looking for engineers with: A STEM degree (BSc or higher) from a top ranked university 3+ years of Python experience and exposure to Go and More ❯

Kubeflow. Demonstrated ability to transition models from prototyp e to production . Experience assessing various AI/ML technologies and models for fit to problem space , including scenarios where RAG is applicable. Incident response experience, and ability to work with large, noisy, and rapidly evolving threat datasets . Strong background in cloud engineering and containerisation (Docker, Kubernetes ), with experience deploying More ❯

Engineers to help build two new football-focused chatbots for betting audiences. Youll be responsible for designing, building, and deploying AI-powered conversational agents using LangGraph, OpenAI functions, and RAG techniques. This is a hands-on engineering role where you get to ship real-time chatbots that deliver dynamic, contextual betting insights to end users. Responsibilities: Build conversational AI flows … using LangGraph and OpenAI function-calling Integrate live sports data, betting odds, and user context into dynamic responses Implement memory handling, tool usage, and RAG pipelines Collaborate on system design, prompt tuning, and architecture decisions Optimize performance for speed, stability, and user satisfaction Skills & Experience: Proven experience with LangChain or LangGraph Strong Python skills and experience working with LLMs Familiarity … with RAG pipelines Experience building chatbots or agent-based systems Knowledge of real-time APIs and data integration (e.g., live sports feeds, betting odds) Understanding of prompt engineering, token limits, and response tuning Bonus: Experience in sports analytics, fantasy sports, or betting applications About us: At Peregrine, we see beyond the immediate and look to the horizon. We build lasting More ❯

Founding Engineer Location: Hybrid (2–3 days/week in London office) I am representing a fast-moving, mission-driven start up building an AI-powered clinical knowledge platform. What You’ll Do: Build and scale backend services (Python/ More ❯

Engineer The role is building AI based automation into back-office administration tasks. You'll be working with GenAI and Agentic AI, lots of AWS, NodeJS, Python, HuggingFace, LangChain, RAG techniques, interfacing with diverse data sets. The opportunity Work at the forefront of the industry. It's exciting, competitive, fast paced and challenging of course! You'll have the support More ❯

Vision/NLP Strong Software Engineering skills (3 years+) Developed LLM architecture and deployed LLM applications Uptodate with current trends in AI Some experience with applying latest techniques like RAG architecture, GenAI, Parallel training etc The role is hybrid, with adhoc requirements to be on client premises (London) this could be between 1-3 days a week, so we would More ❯

efficiency at scale. Key Responsibilities: AI System Development: Design and implement advanced AI solutions to automate and optimize business processes, ensuring high performance, scalability, and reliability. Agentic LLM/RAG Systems: Build sophisticated agentic systems leveraging Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), optimizing for performance and cost by selecting appropriate models More ❯

Already live with its first product and early revenue projected (high six-figure ARR this year), the company is now developing a second, more ambitious system that uses LLMs, RAG, and multi-source data ingestion to solve real problems in a complex, high-value industry. This is a rare opportunity to join early, build real AI systems, and take ownership … deployment experience Strong exposure to MLops/LLMops, ideally in real-world AI product builds Experience with unstructured data, search/re-ranking, or retrieval systems (e.g., RAG) A “builder” mindset, fast, hands-on, pragmatic, collaborative Excited by early-stage start-up life More ❯

engineer with experience building and fine tuning LLM solutions in an applied environment. To provide a snapshot of the experience they are looking for, Conversational AI – NLP LangChain, LangGraph & RAG Pytorch/Tensorflow You will ideally come from a financial services background but this is not an absolute requirement. They work in a hybrid model with 1-2 days a More ❯

teams reach high-intent buyers through hyper-personalised, multi-channel campaigns. We’re building an AI-first platform from the ground up, with LLMs powering everything from content generation to strategic recommendations. We’re looking for hands-on AI Fullstack Product Engineers who’s excited to build, ship, and fully own production-grade AI features. You’ll have … ll be responsible for architecting and shipping AI-powered features using tools like PydanticAI, LangGraph, FastAPI, and OpenAI/Anthropic APIs. You’ll build and orchestrate intelligent agents and RAG pipelines, moving quickly to prototype, test, and launch in days, not months. Working closely with product, design, and go-to-market teams, you’ll build features that solve real customer More ❯

platform like Kubeflow. Demonstrated ability to transition models from prototype to production. Experience assessing various AI/ML technologies and models for fit to problem space, including scenarios where RAG is applicable. Incident response experience, and ability to work with large, noisy, and rapidly evolving threat datasets. Strong background in cloud engineering and containerisation (Docker, Kubernetes) with experience deploying AI More ❯

our agent framework Lead engineering team post-seed Shape product vision and strategy Qualifications: Insatiable desire to build the future & create a highly impactful products Deep expertise in LLMs, RAG, and production ML Experience with agent architectures and fine-tuning Strong API integration skills Builder mentality - you ship fast and iterate Previous startup experience preferred Excited to solve hard technical More ❯

Machine Learning Engineer - RAG Experience - Founding Engineer Machine Learning Engineer Required for a well funded Start-Up building an innovative tool and knowledge management solution to save consultancies considerable time. You will be looking to work for an early stage Start … Up working with a small but world class team and play a critical role with your Python, Machine Learning skills and ideally exposure to Retrieval Augmented Generation (RAG). This is a critical hire that will need to work closely with the founders. Any experience building products from inception will be highly beneficial. Currently … interviewing - please send CV for immediate review! Machine Learning Engineer - RAG Experience - Founding Engineer More ❯